Which of the Following Statements Are Not True?
A) $\hat { \beta } _ { 0 } + \hat { \beta } _ { 1 } x ^ { + }$

Multiple Choice

Which of the following statements are not true?

A) $\hat { \beta } _ { 0 } + \hat { \beta } _ { 1 } x ^ { + }$
, where $x ^ { + }$
Is a specified value of the independent variable x, can be regarded either as a point estimate of
(the expected or true average value of Y when $x = x ^ {+}$
) or as a prediction of the Y value that will result from a single observation made when $x = x ^ { + }$
)
B) Before we obtain sample data, both $\hat { \beta } _ { 0 }$
And $\hat { \beta } _ { 1 }$
Are subject to sampling variability - that is, they are both statistics whose values will vary from sample to sample.
C) A confidence interval for a mean y value in regression is based on properties of the sampling distribution of the statistic $\hat { \beta } _ { 0 } + \hat { \beta } _ { 1 } x ^ { + }$
)
D) All of the above statements are true.
E) None of the above statements are true.